To evaluate current club drug use and its potential association with the transmission of HIV/STD among Changsha men who have sex with men (MSM). A cross-sectional survey was conducted by using self-administered questionnaires including information regarding socio-demographics, club drug use, high-risk behaviors, and HIV/STD infections. Multiple methods including venue-based, peer referral using “snowball” techniques, and internet advertisements were used to recruit study participants. Of the 826 participants, 177 (21.4%) reported that they had used club drugs at some time before or during sex in the past six months. MSM with young age, low education level, and seeking partners through the internet or bars were the main population who used drugs. Poppers were the most common drug used among Changsha MSM. The prevalence of HIV, syphilis, and herpes simplex virus-2 were higher among drug users. There were no significant differences in unprotected sexual intercourse and condom use between drug users and non-users. Compared with non-users, risk behaviors such as group sex, multiple sex partners, and sex with foreigners were more frequent among drug users. Club drug use is common among Changsha MSM, and is related to unsafe sex activities and HIV/STD infection. It is necessary to build novel targeted HIV prevention strategies to monitor and reduce club drug use among MSM.

Background: The effort-reward imbalance (ERI) model is widely used in job stress research. However, few studies using this model have been conducted in developing countries. This study tested the extrinsic and intrinsic hypotheses regarding the burnout of healthcare workers in China with the ERI model.Method: Job stress was assessed by Siegrist’s ERI questionnaire, and burnout was evaluated by the Maslach Burnout Inventory-General Survey (MBI-GS). A total of 1,505 effective respondents were included in the final study. Multiple and hierarchical linear regression was used to analyze the association between components in the ERI model and burnout.Results: Emotional exhaustion and cynicism were positively correlated with ERI and overcommitment. Professional efficacy was positively related to ERI but not to overcommitment. ERI was the determining factor of emotional exhaustion and cynicism. Overcommitment moderated the relationship between ERI and emotional exhaustion and between ERI and cynicism.Conclusion: Changing workplace conditions and increasing personal resilience might alleviate burnout among hospital workers in China. The links between professional efficacy and stressful work environment need further exploration.

(1) Background: Pregnancy-induced hypertension (PIH) is associated with obvious microbiota dysbiosis in the third trimester of pregnancy. However, the mechanisms behind these changes remain unknown. Therefore, this study aimed to explore the relationship between the gut microbiome in early pregnancy and PIH occurrence. (2) Methods: A nested case–control study design was used based on the follow-up cohort. Thirty-five PIH patients and thirty-five matched healthy pregnant women were selected as controls. The gut microbiome profiles were assessed in the first trimester using metagenomic sequencing. (3) Results: Diversity analyses showed that microbiota diversity was altered in early pregnancy. At the species level, eight bacterial species were enriched in healthy controls: Alistipes putredinis, Bacteroides vulgatus, Ruminococcus torques, Oscillibacter unclassified, Akkermansia muciniphila, Clostridium citroniae, Parasutterella excrementihominis and Burkholderiales bacterium_1_1_47. Conversely, Eubacterium rectale, and Ruminococcus bromii were enriched in PIH patients. The results of functional analysis showed that the changes in these different microorganisms may affect the blood pressure of pregnant women by affecting the metabolism of vitamin K₂, sphingolipid, lipid acid and glycine. (4) Conclusion: Microbiota dysbiosis in PIH patients begins in the first trimester of pregnancy, and this may be associated with the occurrence of PIH. Bacterial pathway analyses suggest that the gut microbiome might lead to the development of PIH through the alterations of function modules.